exchange assign and assign_raw kernel name (#41625)

* exchange assign and assign_raw kernel name

* fix register error

paddle/phi/kernels/assign_kernel.cc

@@ -23,22 +23,22 @@
 namespace phi {
 
 template <typename Context>
-void AssignRawKernel(const Context& dev_ctx,
-                     const DenseTensor& x,
-                     DenseTensor* out) {
+void AssignKernel(const Context& dev_ctx,
+                  const DenseTensor& x,
+                  DenseTensor* out) {
   Copy<Context>(dev_ctx, x, x.place(), false, out);
 }
 
 template <typename Context>
-void AssignKernel(const Context& dev_ctx,
-                  paddle::optional<const DenseTensor&> x,
-                  DenseTensor* out) {
+void AssignRawKernel(const Context& dev_ctx,
+                     paddle::optional<const DenseTensor&> x,
+                     DenseTensor* out) {
   if (x) {
     if (!x->IsInitialized()) {
       return;
     }
     auto& x_tensor = *x.get_ptr();
-    AssignRawKernel<Context>(dev_ctx, x_tensor, out);
+    AssignKernel<Context>(dev_ctx, x_tensor, out);
   }
 }
 
@@ -111,14 +111,14 @@ void AssignValueKernel(const Context& dev_ctx,
 
 }  // namespace phi
 
+PD_REGISTER_GENERAL_KERNEL(
+    assign, CPU, ALL_LAYOUT, phi::AssignKernel<phi::CPUContext>, ALL_DTYPE) {}
+
 PD_REGISTER_GENERAL_KERNEL(assign_raw,
                            CPU,
                            ALL_LAYOUT,
                            phi::AssignRawKernel<phi::CPUContext>,
-                           ALL_DTYPE) {}
-
-PD_REGISTER_GENERAL_KERNEL(
-    assign, CPU, ALL_LAYOUT, phi::AssignKernel<phi::CPUContext>, ALL_DTYPE) {
+                           ALL_DTYPE) {
   kernel->InputAt(0).SetBackend(phi::Backend::ALL_BACKEND);
 }
 PD_REGISTER_GENERAL_KERNEL(assign_array,
@@ -136,13 +136,13 @@ PD_REGISTER_KERNEL(assign_value,
                    int64_t) {}
 
 #if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
+PD_REGISTER_GENERAL_KERNEL(
+    assign, GPU, ALL_LAYOUT, phi::AssignKernel<phi::GPUContext>, ALL_DTYPE) {}
 PD_REGISTER_GENERAL_KERNEL(assign_raw,
                            GPU,
                            ALL_LAYOUT,
                            phi::AssignRawKernel<phi::GPUContext>,
-                           ALL_DTYPE) {}
-PD_REGISTER_GENERAL_KERNEL(
-    assign, GPU, ALL_LAYOUT, phi::AssignKernel<phi::GPUContext>, ALL_DTYPE) {
+                           ALL_DTYPE) {
   kernel->InputAt(0).SetBackend(phi::Backend::ALL_BACKEND);
 }
 PD_REGISTER_GENERAL_KERNEL(assign_array,

paddle/phi/kernels/assign_kernel.h

@@ -22,17 +22,17 @@
 namespace phi {
 
 template <typename Context>
-void AssignRawKernel(const Context& dev_ctx,
-                     const DenseTensor& x,
-                     DenseTensor* out);
+void AssignKernel(const Context& dev_ctx,
+                  const DenseTensor& x,
+                  DenseTensor* out);
 
 // In order to be compatible with the `AsDispensable` input in the original
 // assign op maker, the input parameter here needs to be dispensable, but
 // this looks weird
 template <typename Context>
-void AssignKernel(const Context& dev_ctx,
-                  paddle::optional<const DenseTensor&> x,
-                  DenseTensor* out);
+void AssignRawKernel(const Context& dev_ctx,
+                     paddle::optional<const DenseTensor&> x,
+                     DenseTensor* out);
 
 template <typename Context>
 void AssignArrayKernel(const Context& dev_ctx,

paddle/phi/ops/compat/assign_sig.cc

@@ -23,10 +23,10 @@ KernelSignature AssignOpArgumentMapping(const ArgumentMappingContext& ctx) {
     } else if (ctx.IsSelectedRowsInput("X")) {
       return KernelSignature("assign_sr", {"X"}, {}, {"Out"});
     } else {
-      return KernelSignature("assign", {"X"}, {}, {"Out"});
+      return KernelSignature("assign_raw", {"X"}, {}, {"Out"});
     }
   } else {
-    return KernelSignature("assign", {"X"}, {}, {"Out"});
+    return KernelSignature("assign_raw", {"X"}, {}, {"Out"});
   }
 }
 

python/paddle/utils/code_gen/api.yaml

@@ -174,7 +174,7 @@
   infer_meta :
     func : UnchangedInferMeta
   kernel :
-    func : assign_raw
+    func : assign
   backward : assign_grad
 
 # atan

python/paddle/utils/code_gen/backward.yaml

@@ -120,7 +120,7 @@
     func : UnchangedInferMeta
     param : [out_grad]
   kernel :
-    func : assign_raw
+    func : assign
 
 - backward_api : atan2_grad
   forward : atan2 (Tensor x, Tensor y) -> Tensor(out)